A comprehensive simulation tool for the analysis of password policies

Modern organizations rely on passwords for preventing illicit access to valuable data and resources. A well designed password policy helps users create and manage more effective passwords. This paper offers a novel model and tool for understanding, creating, and testing password policies. We present a password policy simulation model which incorporates such factors as simulated users, accounts, and services. This model and its implementation enable administrators responsible for creating and managing password policies to test them before giving them to actual users. It also allows researchers to test how different password policy factors impact security, without the time and expense of actual human studies. We begin by presenting our password policy simulation model. We next discuss prior work and validate the model by showing how it is consistent with previous research conducted on human users. We then present and discuss experimental results derived using the model.     

Password Security: An Empirical Investigation into E-Commerce Passwords and Their Crack Times

Abstract

Strong passwords are essential to the security of any e-commerce site as well as to individual users. Without them, hackers can penetrate a network and stop critical processes that assist consumers and keep companies operating. For most e-commerce sites, consumers have the responsibility of creating their own passwords and often do so without guidance from the web site or system administrator. One fact is well known about password creation—consumers do not create long or complicated passwords because they cannot remember them. Through an empirical analysis, this paper examines whether the passwords created by individuals on an e-commerce site use either positive or negative password practices. This paper also addresses the issue of crack times in relationship to password choices. The results of this study will show the actual password practices of current consumers, which could enforce the need for systems administrators to recommend secure password practices on e-commerce sites and in general.     

动态字典破解用户口令与安全口令选择

口令认证一直是最主要的身份认证方式。考虑到口令要满足口令策略和易记忆的要求,用户常常会将个人信息组合起来作为口令。因此,为了调查此类口令的比例,以2011年泄露的四种真实口令集为实验素材,预先设定口令的组合结构和格式,使用程序统计使用个人信息组合作为口令的比例。实验结果表明,使用姓名、电话号码、特殊日期等信息组合而成的口令比例为12.41%~25.53%。根据这一规律,提出了动态字典攻击。攻击者可以在获得用户部分个人信息后,生成具有针对性的动态字词典,并以此来破解用户口令。最后,还讨论了如何选择口令以防止攻击者通过动态字典破解用户口令。     

Encouraging users to improve password security and memorability

Security issues in text-based password authentication are rarely caused by technical issues, but rather by the limitations of human memory, and human perceptions together with their consequential responses. This study introduces a new user-friendly guideline approach to password creation, including persuasive messages that motivate and influence users to select more secure and memorable text passwords without overburdening their memory. From a broad understanding of human factors-caused security problems, we offer a reliable solution by encouraging users to create their own formula to compose passwords. A study has been conducted to evaluate the efficiency of the proposed password guidelines. Its results suggest that the password creation methods and persuasive message provided to users convinced them to create cryptographically strong and memorable passwords. Participants were divided into two groups in the study. The participants in the experimental group who were given several password creation methods along with a persuasive message created more secure and memorable passwords than the participants in the control group who were asked to comply with the usual strict password creation rules. The study also suggests that our password creation methods are much more efficient than strict password policy rules. The security and usability evaluation of the proposed password guideline showed that simple improvements such as adding persuasive text to the usual password guidelines consisting of several password restriction rules make significant changes to the strength and memorability of passwords. The proposed password guidelines are a low-cost solution to the problem of improving the security and usability of text-based passwords.

     

A Human-Cognitive Perspective of Users’ Password Choices in Recognition-Based Graphical Authentication

ABSTRACT

Graphical password composition is an important part of graphical user authentication which affects the strength of the chosen password. Considering that graphical authentication is associated with visual search, perception, and information retrieval, in this paper we report on an eye-tracking study (N = 109) that aimed to investigate the effects of users’ cognitive styles toward the strength of the created passwords and shed light into whether and how the visual strategy of the users during graphical password composition is associated with the passwords’ strength. For doing so, we adopted Witkin’s Field Dependence-Independence theory, which underpins individual differences in visual information and cognitive processing, as graphical password composition tasks are associated with visual search. The analysis revealed that users with different cognitive processing characteristics followed different patterns of visual behavior during password composition which affected the strength of the created passwords. The findings underpin the need of considering human-cognitive characteristics as a design factor in graphical password schemes. The paper concludes by discussing implications for improving recognition-based graphical passwords through adaptation and personalization techniques based on individual cognitive characteristics.     

The usability of passphrases for authentication: An empirical field study

In developing password policies, IT managers must strike a balance between security and memorability. Rules that improve structural integrity against attacks may also result in passwords that are difficult to remember. Recent technologies have relaxed the 8-character password constraint to permit the creation of longer pass-“phrases” consisting of multiple words. Longer passphrases are attractive because they can improve security by increasing the difficulty of brute-force attacks and they might also be easy to remember. Yet, no empirical evidence concerning the actual usability of passphrases exists. This paper presents the results of a 12-week experiment that examines users’ experience and satisfaction with passphrases. Results indicate that passphrase users experienced a rate of unsuccessful logins due to memory recall failure similar to that of users of self-generated simple passwords and stringent passwords. However, passphrase users had more failed login attempts due to typographical errors than did users of either simple or highly secure passwords. Moreover, although the typographical errors disappeared over time, passphrase users’ initial problems negatively affected their end-of-experiment perceptions.     

Passwords Linked to User ‘Obsessions’

According to a study reported in the International Herald Tribune, users are making hackers’ lives easier by selecting passwords that are based on their personal obsessions. Depending on age and gender, they are likely to pick familiar names or self-laudatory terms for their passwords. They are also likely to use the same password for all occasions when they need to authenticate.     

Cognitive passwords: The key to easy access control

This paper suggests the use of cognitive passwords as a method of overcoming the difficulty of creating passwords that are simultaneously memorable and difficult to guess. Cognitive passwords involve a dialogue between a user and a system, where a user answers a rotating set of questions about highly personal facts and opinions. A set of such brief responses replace a single password.The findings of this empirical investigation, focusing on memorability and ease-of-guessing of cognitive passwords, are reported. These findings show that cognitive passwords were easier to recall than conventional passwords, while they were difficult for others to guess, even others who were socially close to the users.     

Password Policy Purgatory

IT system users, (all of us), and administrators, (increasingly large numbers of us), must all manage some passwords. In this article, the author reviews some issues related to password policies and concludes that managing passwords, in any sensible manner, is becoming more and more of a nuisance for users, a factor that should be to the forefront when administrators are creating password policies.     

Improving password security and memorability to protect personal and organizational information

Personal information and organizational information need to be protected, which requires that only authorized users gain access to the information. The most commonly used method for authenticating users who attempt to access such information is through the use of username–password combinations. However, this is a weak method of authentication because users tend to generate passwords that are easy to remember but also easy to crack. Proactive password checking, for which passwords must satisfy certain criteria, is one method for improving the security of user-generated passwords. The present study evaluated the time and number of attempts needed to generate unique passwords satisfying different restrictions for multiple accounts, as well as the login time and accuracy for recalling those passwords. Imposing password restrictions alone did not necessarily lead to more secure passwords. However, the use of a technique for which the first letter of each word of a sentence was used coupled with a requirement to insert a special character and digit yielded more secure passwords that were more memorable.     

User interface design affects security: patterns in click-based graphical passwords

Design of the user interface for authentication systems influences users and may encourage either secure or insecure behaviour. Using data from four different but closely related click-based graphical password studies, we show that user-selected passwords vary considerably in their predictability. Our post-hoc analysis looks at click-point patterns within passwords and shows that PassPoints passwords follow distinct patterns. Our analysis shows that many patterns appear across a range of images, thus motivating attacks which are independent of specific background images. Conversely, Cued Click-Points (CCP) and Persuasive Cued Click-Points (PCCP) passwords are nearly indistinguishable from those of a randomly generated simulated dataset. These results provide insight on modeling effective password spaces and on how user interface characteristics lead to more (or less) security resulting from user behaviour.     

基于蓝牙和NFC的防泄露密码使用管理系统

随着密码使用越来越广泛,用户需要记忆大量复杂的密码来保证安全,密码的记忆和输入变得越来越困难。为此,文章提出了一种基于蓝牙NFC的防泄露密码使用管理系统的设计,帮助用户记忆大量密码以及方便输入,并采用NFC(近场通讯)身份验证、类似于KDC(密钥分配中心)的密钥分配机制、挂失机制等安全机制来保证用户的密码安全。测试结果表明该系统能有效地帮助用户记忆大量密码以及快捷地进行密码的输入,并用挂失等安全机制有效地保证用户的密码不被泄露。     

SPP: An anti-phishing single password protocol

Most users have multiple accounts on the Internet where each account is protected by a password. To avoid the headache in remembering and managing a long list of different and unrelated passwords, most users simply use the same password for multiple accounts. Unfortunately, the predominant HTTP basic authentication protocol (even over SSL) makes this common practice remarkably dangerous: an attacker can effectively steal users’ passwords for high-security servers (such as an online banking website) by setting up a malicious server or breaking into a low-security server (such as a high-school alumni website). Furthermore, the HTTP basic authentication protocol is vulnerable to phishing attacks because a client needs to reveal his password to the server that the client wants to login.In this paper, we propose a protocol that allows a client to securely use a single password across multiple servers, and also prevents phishing attacks. Our protocol achieves client authentication without the client revealing his password to the server at any point. Therefore, a compromised server cannot steal a client’s password and replay it to another server.Our protocol is simple, secure, efficient and user-friendly. In terms of simplicity, it only involves three messages. In terms of security, the protocol is secure against the attacks that have been discovered so far including the ones that are difficult to defend, such as the malicious server attacks described above and the recent phishing attacks. Essentially our protocol is an anti-phishing password protocol. In terms of efficiency, each run of our protocol only involves a total of four computations of a one-way hash function. In terms of usability, the protocol requires a user to remember only one password consisting of eight (or more) random characters, and this password can be used for all of his accounts.     

Improving Password Cybersecurity Through Inexpensive and Minimally Invasive Means: Detecting and Deterring Password Reuse Through Keystroke-Dynamics Monitoring and Just-in-Time Fear Appeals

Password reuse – using the same password for multiple accounts – is a prevalent phenomenon that can make even the most secure systems vulnerable. When passwords are reused across multiple systems, hackers may compromise accounts by stealing passwords from low-security sites to access sites with higher security. Password reuse can be particularly threatening to users in developing countries in which cybersecurity training is limited, law enforcement of cybersecurity is non-existent, or in which programs to secure cyberspace are limited. This article proposes a two-pronged solution for reducing password reuse through detection and mitigation. First, based on the theories of routine, cognitive load and motor movement, we hypothesize that password reuse can be detected by monitoring characteristics of users' typing behavior (i.e. keystroke dynamics). Second, based on protection motivation theory, we hypothesize that providing just-in-time fear appeals when a violation is detected will decrease password reuse. We tested our hypotheses in an experiment and found that users' keystroke dynamics are diagnostic of password reuse. By analyzing changes in typing patterns, we were able to detect password reuse with 81.71% accuracy. We also found that just-in-time fear appeals decrease password reuse; 88.41% of users who received a fear appeal subsequently created unique passwords, whereas only 4.45% of users who did not receive a fear appeal created unique passwords. Our results suggest that future research should continue to examine keystroke dynamics as an indicator of cybersecurity behaviors and use just-in-time fear appeals as a method for reducing non-secure behavior. The findings of our research provide a practical and cost-effective solution to bolster cybersecurity through discouraging password reuse.     

Impact of restrictive composition policy on user password choices

This study investigates the efficacy of using a restrictive password composition policy. The primary function of access controls is to restrict the use of information systems and other computer resources to authorised users only. Although more secure alternatives exist, password-based systems remain the predominant method of user authentication. Prior research shows that password security is often compromised by users who adopt inadequate password composition and management practices. One particularly under-researched area is whether restrictive password composition policies actually change user behaviours in significant ways. The results of this study show that a password composition policy reduces the similarity of passwords to dictionary words. However, in this case the regime did not reduce the use of meaningful information in passwords such as names and birth dates, nor did it reduce password recycling.     

The Good and Not So Good of Enforcing Password Composition Rules

ABSTRACT

Many systems rely on password composition rules to force users to choose more secure passwords. The findings discussed here are from a study on the enforcement of good password practice in the form of password composition rules. The results show that the enforcement of password composition rules does not discourage users from using meaningful information in passwords. While composition rules reduce password reuse, the overall incidence remains high. Passwords created under these conditions are also perceived to be more difficult to remember. Nevertheless, the enforcement of password composition rules does significantly improve protection against dictionary-based attack.     

Why That Picture? Discovering Password Properties in Recognition-Based Graphical Authentication

Numerous graphical authentication ideas have been proposed on how to address the security and usability of text-based passwords. However, it remains unclear how users approach graphical password selection and the inherent personal bias when selecting images. This study investigates user choices in password selection for recognition-based graphical authentication. Our analysis is based on a total of 302 participants continuously using a graphical authentication system during a 6-week long study. The results show pronounced preference effects for image properties such as color, shape, and category. Additionally, there is a significant difference between genders in the selected images based on the same properties.     

Neural Network Techniques for Proactive Password Checking

This paper deals with the access control problem. We assume that valuable resources need to be protected against unauthorized users and that, to this aim, a password-based access control scheme is employed. Such an abstract scenario captures many applicative settings. The issue we focus our attention on is the following: password-based schemes provide a certain level of security as long as users choose good passwords, i.e., passwords that are hard to guess in a reasonable amount of time. In order to force the users to make good choices, a proactive password checker can be implemented as a submodule of the access control scheme. Such a checker, any time the user chooses/changes his own password, decides on the fly whether to accept or refuse the new password, depending on its guessability. Hence, the question is: how can we get an effective and efficient proactive password checker? By means of neural networks and statistical techniques, we answer the above question, developing suitable proactive password checkers. Through a series of experiments, we show that these checkers have very good performance: error rates are comparable to those of the best existing checkers, implemented on different principles and by using other methodologies, and the memory requirements are better in several cases. It is the first time that neural network technology has been fully and successfully applied to designing proactive password checkers     

An assessment of website password practices

Password-based authentication is frequently criticised on the basis of the ways in which the approach can be compromised by end-users. However, a fundamental point in the defence of many users is that they may not know any better, and lack appropriate guidance and support when choosing their passwords and subsequently attempting to manage them. Given that such support could reasonably be expected to come from the systems upon which the passwords are used, this paper presents an assessment of password practices on 10 popular websites, examining the extent to which they provide guidance for password selection, enforce restrictions on password choices, and support easy and effective recovery or reset if passwords are forgotten. The findings reveal that the situation is extremely variable, with none of the assessed sites performing ideally across all of the assessed criteria. Better efforts are consequently required if password practices amongst the general populous are expected to improve.     

Password guessers under a microscope: an in-depth analysis to inform deployments

Password guessers are instrumental for assessing the strength of passwords. Despite their diversity and abundance, comparisons between password guessers are limited to simple success rates. Thus, little is known on how password guessers can best be combined with or complement each other. To extend analyses beyond success rates, we devise an analytical framework to compare the types of passwords that guessers generate. Using our framework, we show that different guessers often produce dissimilar passwords, even when trained on the same data. We leverage this result to show that combinations of computationally cheap guessers are as effective in guessing passwords as computationally intensive guessers, but more efficient. Our framework can be used to identify combinations of guessers that will best complement each other. To improve the success rate of any guesser, we also show how an effective training dataset can be identified for a given target password dataset, even when the target dataset is hashed. Our insights allow us to provide a concrete set of practical recommendations for password checking to effectively and efficiently measure password strength.